MSc in Business Analytics - Programme Handbook 2017 2018 - NUI Galway
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
MSc in Business Analytics
Programme Handbook 2017 - 2018
1Table of Contents
Welcome....................................................................................................................................................................... 3
Programme Objectives ................................................................................................................................................. 4
Programme Structure ................................................................................................................................................... 4
Marks and Standards .................................................................................................................................................... 4
Award of Honours......................................................................................................................................................... 4
Assessment Weightings ................................................................................................................................................ 4
Term and Exam Dates 2017-18 .................................................................................................................................... 5
First Semester ........................................................................................................................................................... 5
Second Semester ...................................................................................................................................................... 5
Autumn Exams.......................................................................................................................................................... 5
Contacting Staff ............................................................................................................................................................ 5
Library ........................................................................................................................................................................... 6
Academic Writing Centre ............................................................................................................................................. 7
Information Skills support ............................................................................................................................................ 7
Computer Facilities (ISS) ............................................................................................................................................... 7
Blackboard .................................................................................................................................................................... 7
Academic Study Skills ................................................................................................................................................... 8
Parking and Bicycles ..................................................................................................................................................... 8
Lockers .......................................................................................................................................................................... 8
SAP Certification ........................................................................................................................................................... 8
Course Syllabi and Descriptions ................................................................................................................................... 9
What is Plagiarism and how is it defined in the University? ...................................................................................... 11
Examples of plagiarising the work of other students ........................................................................................... 11
Examples of plagiarism from published sources ................................................................................................... 11
Timetable Semester I 2017-20187 ............................................................................................................................. 13
Timetable Semester II 2017-2018 ................................................................................. Error! Bookmark not defined.
2Welcome
We would like to welcome you to the MSc in Business Analytics here at NUI Galway and we hope your time here will
be enjoyable.
This handbook should cover any queries you may have in regard to issues pertaining to the programme as well as
giving guidance on other related issues in the university.
Our contact details are as follows:
Name: Denis Dennehy
Room 339
Tel: 091 494393
Email: denis.dennehy@nuigalway.ie
Name Melissa O’Hea
Room 370
Tel: 091 492308
Email: melissa.ohea@nuigalway.ie
Yours sincerely,
Denis Dennehy
MSc in Business Analytics Programme Director
Melissa O’Hea
Programme Administrator
3Programme Objectives
The MSc. in Business Analytics provides students with the skills and knowledge to manage and develop business
analytics within organisations. The programme is designed as a specialist course, which assists students in blending
their existing talents with the technological skills and business knowledge needed to use and manage big data and
business analytics in modern knowledge-based organisations. The programme is 12 months in duration commencing
in September each year.
Programme Structure
The programme is offered on a full-time basis over one academic year. The programme consists of lectures, practical
classes, seminars and projects.
Marks and Standards
To be eligible for the award of the M.Sc. in Business Analytics, candidates must successfully complete modules to a
total of 90 ECTS.
Award of Honours
Honours are awarded only on completion of the programme according to the following scheme:
• H1 70% on the aggregate
• H2.1 60% on the aggregate
• H2.2 50% on the aggregate
• H3 40% on the aggregate
Honours are awarded only on the aggregate performance at an Examination as a whole. Honours are not awarded
on the basis of results obtained in individual modules.
Assessment Weightings
Semester I Course Code ECTS First Sitting
Database Systems MS805 5 Semester I
Business Applications Programming MS806 5 Semester I
Decision Theory & Analysis MS5104 5 Semester I
Statistical Techniques for Business Analytics MS5105 5 Semester I
Business Modelling & Analytics MS5107 5 Semester I
Elective Modules (choose one – subject to availability)
Strategic Management MG557 5 Semester I
Systems Development & Project Management MS804 5 Semester I
Semester II
Information Systems Strategy and Innovation MS802 5 Semester II
Enterprise Systems MS809 5 Semester II
Information Systems Security & Ethics MS810 5 Semester II
Advanced Applications Programming MS815 5 Semester II
Data Science & Big Data Analytics MS5106 5 Semester II
Applied Customer Analytics MS5108 5 Semester II
Business Intelligence with SAP MS5109 10 Autumn
Business Analytics Project MS5103 20 Autumn
4Term and Exam Dates 2018-19
First Semester
Teaching: Monday, 10th September 2018 - Saturday, 1st December 2018
Study Week: Monday 3rd December – Saturday 8th December 2018
Semester 1 Exams: Monday 10th December – Friday 21st December 2018
Christmas Holiday: Saturday 22nd December 2018
Second Semester
Teaching: Monday, 14th January 2019 – Saturday, 6th April 2019
Study Week: Thursday, 11th April – Thursday, 18th April 2019
Easter: Friday, 19th April – Monday, 22nd April 2019
Semester 2 Exams: Monday, 23rd April – Friday, 10th May 2019
Autumn Exams
Tuesday 6th August – Friday 16th August 2019
Contacting Staff
Please find below contact details of some of your lecturers throughout the year, this list is not yet complete and is
subject to change:
STAFF LECTURER EMAIL
Strategic Management (MG557) Josephine Igoe Josephine.igo@nuigalway.ie
Information Systems Strategy Lorraine Morgan / Lorraine.morgan@nuigalway.ie
and Innovation (MS802) Denis Dennehy denis.dennehy@nuigalway.ie
Systems Development & Project
Kieran Conboy kieran.conboy@nuigalway.ie
Management (MS804)
Database Systems (MS805) Michael Lang michael.lang@nuigalway.i
Business Applications
Neil Keane Neil.keane@nuigalway.ie
Programming (MS806)
Enterprise Systems (MS809 TBC
Information Systems Security &
Sean Browne s.browne2@nuigalway.ie
Ethics (MS810)
Advanced Application
Neil Keane neil.keane@nuigalway.ie
Programming (MS815)
Decision Theory & Analysis Willie.golden@nuigalway.ie
Willie Golden / TBC
(MS5104)
Statistical Techniques for
Michael Kelly michaelckelly@protonmail.com
Business Analytics (MS5105)
Data Science & Big Data Anatoli.nachev@nuigalway.ie
Anatoli Nachev / Murray Scott
Analytics (MS5106) Murray.scott@nuigalway.ie
Business Modelling & Analytics
Anatoli Nachev Anatoli.nachev@nuigalway.ie
(MS5107)
Applied Customer Analytics
Eoin Whelan eoin.whelan@nuigalway.ie
(MS5108)
Business Analytics with SAP Murray Scott Murray.scott@nuigalway.ie
(MS5109) Denis Dennehy denis.dennehy@nuigalway.ie
Project (MS5103) Michael Lang michael.lang@nuigalway.ie
5International Student Checklist and Orientation
NUI Galway looks forward to welcoming all International Students to Galway These are the steps to take to ensure
that your arrival goes as smoothly as possible:
Pre-Arrival Checklist
1. Download the Pre-Arrival Guide The Pre-Arrival Guide 2018 provides detailed information for
accepted students, including study visas, student housing,
registration and getting to Galway.
2. Accept your offer Refer to your offer letter for instructions on how to accept your offer.
If you are not sure about how to accept your offer, please
email internationalnuigalway.ie
3. Pay your deposit or tuition fee Refer to your offer letter for instructions on how to pay any deposit
that may be required by the University. The rules regarding payment
and deposits may vary depending on the programme you have been
accepted to. Your initial deposit will be deducted from your tuition fee,
which unless otherwise stated in your letter of offer, is to be paid in
full before you can register as a student. Please see the tuition fees
section for more information.
4. Purchase Health Insurance Proof of medical expenses insurance is required for all non-EU
students for immigration purposes. Please refer to the Health
Insurance section of our website for more information.
5. Prepare your immigration/travel All non-EU/EEA nationals are subject to immigration control at the
documents point of entry to the Irish State, so please ensure you comply fully
with Irish Immigration Regulations and that you have all the required
documentation ready for inspection immigration officials.
6. Book your accommodation Please refer to the accommodation section of our website for
information on how to book student accommodation.
7. Make travel arrangements Check the Academic Calendar for your Term Dates refer to the
"Getting Here" tab above for information and advice on getting to
Galway.
8. Pack your things Check out the list of useful items to pack for Galway. The most
important thing to remember is to pack light. Make a list of things you
will actually need to see you through the first few weeks in Galway
and discard everything else.
9. Plan your budget It is important to understand all the costs involved, including tuition
fees and day-to-day living costs. Budgeting is one of the key skills
you will develop during your time at university and once you learn
how to manage your money, you will be able to enjoy university life to
the full.
10. Keep in touch :-) We hope you find this pre-arrival section of our website useful in
helping you prepare for your stay at NUI Galway. If you are unsure
about anything, please contact the International Affairs Office
t: + 353 91 495277
e: international@nuigalway.ie
You can also reach out to fellow international students over on
our Facebook page and follow us on Twitter for the latest news and
updates.
Support services orientation for international students takes place on Thursday, 6th September at 9.30am in the
Bailey Allen Hall, Áras na Mac Léinn (Student Centre) and covers the following topics:
• Student Health • Library
• Counselling services • Computer Services
• Blackboard • Banking
• Sports Clubs and Student Societies • Student safety
• Volunteering opportunities • GNIB Registration (Non-EU/EEA students)
6Library
Library opening times - term-time
Monday to Friday: 08.30 – 22.00
Saturday: 08.30 – 13.00
The username and password for your Library account is the same as the username and password for your campus
account, i.e. what you use to log on to the University network and for your email. For further information on the library,
please visit http://www.library.nuigalway.ie/ Training sessions on a variety of topics all designed to help you gain the
skills of finding, evaluating and using information more efficiently are conducted in the library in semester I.
Academic Writing Centre
The AWC offers free one-on-one tutorials on essay writing for NUIG students. Last year, AWC tutors helped over
500 students to overcome recurrent problems with grammar, punctuation, spelling, and essay structure. The AWC
offers help and encouragement along the way. Everyone is welcome, regardless of level of experience or grade
average. AWC tutors work with new entrants, final year students, and postgraduates alike. The AWC also
offers group workshops and an online course. http://www.library.nuigalway.ie/awc/
The AWC is located on floor 2, in the James Hardiman Library.
Bíonn seirbhís Ghaeilge ar fail Dé Luain (18.00-20.00) agus Dé Máirt (18.00-20.00).
Information Skills support
Navigating your way through the wealth of information resources the Library makes available can be a daunting
task. Library staff provide support, help and training to enable you to get to grips with the literature of your subject
and the Library's resources. They have staff with expertise on information resources in your subject area, who are
available to support you with your studies, research, or teaching.
As well as being available for one-to-one enquiries and consultations, support staff provide training sessions
throughout the Semester aimed at helping you identify and use the information resources you need for your
study. Our training programme is also aimed at equipping you with the lifelong skills of information seeking,
evaluation and use. http://www.library.nuigalway.ie/support/
Computer Facilities (ISS)
The MSc Business Analytics class has a dedicated computer suite located in the Cairnes building (CA244). Access
is gained to this suite by swiping your student card.
The Information Solutions and Services Department provides a comprehensive range of ICT services for students.
Please visit http://www.nuigalway.ie/information-solutions-services/services-for-students/ for further information on
computer services.
Blackboard
Blackboard is the Virtual Learning Environment (VLE) used in NUI Galway. All course materials, timetables, lectures
and tutorials, tutorial groups, course outlines, course assignments, announcements and discussion groups will be
made available on https://nuigalway.blackboard.com. A guide to using Blackboard can be found by visiting the
following link timetables, lectures and tutorials, tutorial groups, course outlines, course assignments, announcements
and discussion groups http://www.nuigalway.ie/information-solutions-services/services-for-students/blackboard/
7Academic Study Skills
A set of online study skills modules is now available within Blackboard. Called Skills4Study this resource includes
the following modules:
• Getting ready for academic study
• Reading and note-making
• Critical thinking skills
• Writing skills
• Referencing and plagiarism
To access these modules, log on to Blackboard and self-enrol in the Learning Centre. Full details are available in
the Skills4Study Student Guide.
Parking and Bicycles
It is essential that you get a temporary parking permit and/or permanent student permit before you park in the
university grounds. Without the permit you will be clamped, and the release fee is €60.00. The clamping company
makes no exceptions. A Park and Ride facility is available from Dangan car park.
You will find all details on parking in the University on this link http://www.nuigalway.ie/buildings/parking.html
Bicycle racks are located at the back of the Cairnes Building.
A new secure bicycle compound is now open, and this is located to the west of the Arts Science Building.
Anyone with a valid student / staff University ID card can access the compound.
http://www.nuigalway.ie/buildings/get-to-around/cycle/
Lockers
Lockers in the Cairnes Building are available by contacting Raphael McLoughlin in Room 355.
SAP Certification
Students of the MSc Business Analytics are entitled to participate in SAP certification courses. SAP are now offering
CRM and Business Intelligence courses as well as their basic ERP course. These certification courses represent a
great opportunity for you to gain highly competitive skills. Our strategic alliance with SAP enables us to offer these
modules to you as a registered student of NUI Galway. Once you graduate you will no longer be able to avail of
them. Full details are provided at http://www.erp4students.co.uk. Please contact Murray Scott for further information
murray.scott@nuigalway.ie
8Course Syllabi and Descriptions
Strategic Management – MG557
The objective of this module is to provide exposure to the concepts, theories and techniques of strategic management
in a business context and application of strategic management concepts across a wide range of business settings.
Understand the design, implementation and maintenance of strategic planning systems and strategic thinking.
Developing an in--depth understanding of some of the key theoretical standpoints in the literature on strategic
management. Developing your ability to critically review research and journal articles Improving your writing,
presentational and research skills. Promoting the development of case study-based analysis through the application
of seminal strategic management frameworks and theories.
Systems Development & Project Management – MS804
The objective of this course is to develop in students an understanding of the fundamentals of project management
within the context of information systems development. Topics include the systems development life cycle, project
planning, requirements analysis and scope management, time management, cost management, project HR
management, risk management, communications management, configuration management, change control, project
audit and closure, managing agile projects and emerging issues.
Information Systems Strategy & Innovation – MS802
The objective of this course is to provide students with an in-depth understanding of the relationship between IS
strategy and IS innovation. Topics may include: IS Strategy Frameworks and Business Models, Patterns of
Innovation, Mobile Commerce, Pervasive Computing, Choosing & Measuring IS Projects, Modelling IS Innovation
and Strategic Selection, Cloud Computing, Factors Impacting Strategy and Innovation, Emerging Topics and Issues
in IS Strategy and Innovation.
Database Systems - MS805
The objective of this module is to provide students with an understanding of business and technical issues in the
development of database systems. Topics may include: database management systems; data modelling techniques
e.g. normalisation, entity-relationship modelling, class diagrams; logical and physical database design; data quality
and integrity; data definition; Structured Query Language (SQL); transaction management; distributed databases;
emerging topics and issues.
Business Applications Programming - MS806
The objective of this module is to introduce students to the fundamentals of interactive applications programming.
Topics may include: principles of structured programming; object-oriented programming; event-driven programming;
business applications modelling (e.g. Unified Modelling Language); functions and subroutines; conditional logic;
repetition statements; arrays; emerging topics and issues.
Enterprise Systems – MS809
The objective of this module is to develop students understanding of Enterprise Systems in business. Topics may
include: information systems in the functional areas including systems to support finance, marketing, human
resources and manufacturing; business processes; Enterprise Resources Planning (ERP) systems; Customer
Relationship Management (CRM) systems; Supply Chain Management (SCM) systems; Global Supply Chain
Management and Design; Enterprise Application Integration (EAI); operations management; designing Enterprise
Systems; frameworks for implementing Enterprise Systems; benefits and drawbacks of Enterprise Systems;
Enterprise Systems software (e.g., SAP); critical perspectives on Enterprise Systems; case studies in Enterprise
Systems; emerging directions and issues in Enterprise Systems.
Information Systems Security & Ethics – MS810
The objective of this module is to help future managers to understand the broad range of technical and managerial
issues related to information systems security; and ethical, legal and societal dimensions of information systems.
Students will learn specific tools and techniques to support effective IS security management. Topics may include:
nature and scope of IS security; security of technical systems in organizations; models for specification of IS security;
cryptography and technical IS security; network infrastructure and security; planning and designing IS security; risk
management for IS security; computer ethics; ethical usage policies; ethical frameworks and guidelines; legal aspects
of information systems and the Web; data and consumer protection legislation; privacy issues in the digital age;
contemporary issues in IS security and ethics.
9Advanced Applications Programming – MS815
The objective of this module is to provide students with an understanding of advanced programming methods and
techniques. Topics may include: Object oriented programming languages e.g. Java, C++; programming paradigms;
programming concepts such as methods, classes, objects, exception handling, inheritance, polymorphism, file
handling; programming constructs; new and emerging issues in object-oriented programming.
Decision Theory & Analysis – MS5104
The objective of this course is to introduce students to the different aspects of decision theory and analysis and
specifically how these apply to business. Topics include, decision theory, decision making, framing of decisions,
types of decision making, flaws in decision making approaches, group decision making, risk, heuristics, data
visualization in organisational decision making and emerging topics in decision theory and analysis.
Statistical Techniques for Business Analytics – MS5105
The objectives of this module are to build the knowledge and skills required to apply quantitative techniques to
analyse business data and interpret and present results from such analyses. Topics may include: descriptive
analysis; visualisation and charting; how to work with various data types and how they relate to statistical tests; how
to know what analytical tests to run; how to read data output; how to interpret and report results; business data
correlations, regression; t-tests and various analyses of variance methods; factor analysis; parametric and non-
parametric analyses; other statistical techniques for business analytics.
Data Science & Big Data Analytics – MS5106
This course provides practical foundation level training that enables immediate and effective participation in big data
and other analytics projects. It includes an introduction to big data and the Data Analytics Lifecycle to address
business challenges that leverage big data. The course provides a grounding in basic and advanced analytic methods
and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. The course allows
students to understand how these methods and tools may be applied to real world business challenges by a practicing
data scientist.
Business Modelling & Analytics – MS5107
The objective of this course is to develop students understanding of the role of business analytics in decision making
and equip them with solutions used to create scenarios, understand realities, and predict future states. The course
focuses on three types of business analytics: descriptive analytics used to gain insight from historical data; predictive
analytics used to forecast future business performance; and prescriptive analytics used to recommend decisions
using optimisation, simulation etc. Students are introduced to core concepts and technologies of business analytics,
such as modelling, analysis, optimisation; data exploration and data mining; forecasting models; decision trees;
neural networks; clustering techniques; etc. The course uses real business cases, to illustrate the application and
interpretation of these methods. An important feature of the course is the use of MS Excel, an environment familiar
to business analysts. All discussed models are provided by the Excel add-ins Analytic Solver Platform and XLMiner
plus illustrative examples.
Applied Customer Analytics – MS5108
In today's digitally enabled world, businesses are collecting more data than they know what to do with. Using the R
programming language, which has become the industry standard for statistical analytics, this module will focus on
turning large datasets into useful insights. The focus is applying statistical techniques to real datasets using R, rather
than the mathematical details. With an emphasis on customer datasets, candidates will explore the R, RStudio, and
R packages; learn how to programme basic statistics; create attractive, intuitive statistical graphics; write user-defined
functions; combine and reshape multiple datasets; build linear, generalised linear, and nonlinear models; assess the
quality of models and variable selection; analyse univariate and multivariate time series data; and learn how to write-
up data analyses.
Business Intelligence with SAP – MS5109
This SAP certification course verifies the knowledge in the area of the SAP Business Intelligence solution. This
certificate builds on the basic knowledge gained by a BI Consultant and preferably refined by practical experience
within a BI team and the Consultant can implement this knowledge of the specialist areas practically in projects.
Project – MS5103
A major applied project will be undertaken under the supervision and direction of staff. The project will normally be
undertaken on a group basis. Projects must be based on a substantial topic in the field of business analytics.
10What is Plagiarism and how is it defined in the University?
A session on plagiarism will be scheduled in October. Attendance is obligatory.
Plagiarism is taking the credit for someone else’s ideas and making out that you thought of these ideas yourself.
This is a form of intellectual theft. In third level colleges, plagiarism is a serious offence. It merits a severe penalty.
In some colleges, the student loses the entire marks for that assignment. In other colleges, the student is brought
before the disciplinary committee. You need to be aware of how serious an offence plagiarism is, and take care to
avoid it in your assignments, and particularly in a thesis.
Plagiarism is defined by the Academic Council of the University as follows:
1. Plagiarism is the act of copying, including or directly quoting from, the work of another without adequate
acknowledgement. The submission of plagiarised materials for assessment purposes is fraudulent and all
suspected cases will be investigated and dealt with appropriately by the University following the procedures
outlined here [NUI Galway Code of Practice for Dealing with Plagiarism located at
http://www.nuigalway.ie/plagiarism] and with reference to the Disciplinary Code.
2. All work submitted by students for assessment purposes is accepted on the understanding that it is their
own work and written in their own words except where explicitly referenced using the accepted norms and
formats of the appropriate academic discipline.
3. Whilst some cases of plagiarism can arise through poor academic practice with no deliberate intent to
cheat, this still constitutes a breach of acceptable practice and requires to be appropriately investigated and
acted upon. (See NUI Galway Code of Practice for Dealing with Plagiarism at
http://www.nuigalway.ie/plagiarism)
The J. E. Cairnes School of Business & Economics has two plagiarism advisors Dr. Anatoli Nachev and Ms. Mairéad
Hogan who are responsible for dealing with suspected and reported cases of plagiarism and acting in accordance
with the University’s Code of Practice for Dealing with Plagiarism. Please see http://www.nuigalway.ie/plagiarism for
further details.
Examples of plagiarising the work of other students
• Getting someone else to write your essay, report, assignment or thesis.
• Taking material written by someone else, putting your own name to it, and handing it in as your own work.
• Copying bits and pieces out of the work of another student/author and including them in your own essay,
report or thesis without acknowledging the source.
• Taking ideas, theories, direct quotations, diagrams, statistics, tables, photographs, graphs from a published
source or the Internet, and including them in your assignment without stating a source.
• To avoid plagiarism, you must give credit whenever you use:
➢ another person's idea, opinion, or theory; any facts, statistics, graphs, drawings⎯ any pieces of
information whatsoever that are not common knowledge; quotations of another person's actual
spoken or written words; or paraphrase of another person's spoken or written words.
• Allowing another student to copy your work is also considered to be plagiarism and both students are subject
to penalty.
• Plagiarised work in group assignments or projects can be caused by the contribution of a single student, but
the group submits and is therefore fully responsible for that. The penalty affects all students in the group.
Examples of plagiarism from published sources
• Direct quotation: Using the exact words of another person without giving them credit for it.
• Paraphrasing: Putting someone else’s ideas into your own words without giving them credit by citing the
source for the ideas.
• Using statistics, tables or a graphic (diagram, figure, picture and so on) without citing a source.
• Summarising material from a source without acknowledging where the ideas came from.
Fair use: Remember, you cannot base your thesis on chunks of material “borrowed” from your reading materials.
Instead, you must form your own opinions about the thesis topic and use your reading materials fairly to support your
own ideas, making sure to cite the sources of everything you use.
Common Knowledge: A lot of information is considered “common knowledge”, so you do not have to quote a source
for it. For example, Galileo discovered that the earth goes around the sun. Up until his discovery, everyone thought
11that the sun circled the earth. Even though this new idea was thought up by Galileo, we do not need to cite him as
the source⎯ this information (fact) has become common knowledge, something that “everyone knows”. As a rule of
thumb, any fact that you would be able to find in ten different books, you do not need to cite a source for it. Such
facts are “common knowledge”.
You must, however, cite a source for any new facts; say for example recent information about the impact of global
warming on the climate of Ireland. It is only facts that have become common knowledge that you can use without
citing a source.
You must always cite a source for opinions⎯ someone’s personal point of view about a fact.
For example, if you are doing an assignment/report/thesis on a social issue, like equality in the workplace, you will
probably draw facts from a range of published works, use ideas drawn from your own experiences, and may carry
out some primary research like a survey based on a questionnaire. You will need to cite sources for all the opinions
and facts taken from your reading materials and explain clearly what information comes from your survey.
Citation and Referencing
Remember, everything you write must be verifiable. If you cite no source for content in your assignment/report/thesis,
this means you are claiming you thought of the ideas yourself. But, fresh ideas are rare. Most of our ideas have
already been thought of by someone else, or they are based on the ideas of someone else. You need to acknowledge
that by citing a source for any ideas you find in your reading materials. You do this by in-text citation linked to a List
of Works Cited, or a Reference List placed at the end of your thesis, essay or report.
Each academic discipline has its own method for citing sources. You do not have to know all of these different styles.
Just be aware that they exist.
The following texts are useful for citing and referencing and are available in the University library and the University
bookshop:
Pears, R. and Shields, G. (2004) “Cite them right: referencing made easy”, Northumbria University, Newcastle upon
Tyne, England ISBN: 1-904794-02-5
Pears, R. and Shields, G. (2005) “Cite them right: the essential guide to referencing and plagiarism”, Northumbria
University, Newcastle upon Tyne, England ISBN: 0-955121-60-4
12M.Sc. in Business Analytics
Timetable Semester I 2018-2019
Time Monday Tuesday Wednesday Thursday Friday
09.00-10.00
Business Modelling and
Analytics (MS5107) CA111
10.00-11.00
Decision Theory and Analysis
(MS5104) AUC-G002
11.00-12.00
Business Applications
Programming (MS806) CA111
12.00-13.00
13.00-14.00
14.00-15.00 Statistical Techniques for
Database Systems (MS805)
Business Analytics (MS5105)
CA111
15.00-16.00 AM200 - Fottrell
16.00-17.00 Systems Development and
Strategic Management (MG557)
Project Management (MS804)
CA111
17.00-18.00 CA111
18.00-19.00
CA111 = Lecture Hall 1, St Anthony’s
This timetable is provisional and is subject to change
13You can also read
